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    National Tsing Hua University Institutional Repository > 研究中心 > 電腦與通訊科技研發中心 > 技術報告 >  An adaptive Bernoulli-Gaussian model based maximum-likelihood channel equalizer for detection of binary sequences


    Please use this identifier to cite or link to this item: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/13423


    Title: An adaptive Bernoulli-Gaussian model based maximum-likelihood channel equalizer for detection of binary sequences
    Authors: Chen,Wu-Ton
    Chi,Chong-Yung
    Date: 1993
    Publisher: Institute of Electrical and Electronics Engineers Inc.
    Keywords: adaptive equalisers
    adaptive signal detection
    binary sequences
    maximum likelihood detection
    time-varying channels
    Abstract: Based on a modified Bernoulli-Gaussian model, we propose an adaptive maximum-likelihood channel equalizer, which is a block signal processing algorithm, for the detection of binary sequences transmitted through an unknown slowly time-varying channel. Both computational load and storage required by the proposed adaptive channel equalizer are linearly rather than exponentially proportional to the size of signal processing block. A simulation example is provided to support that it can simultaneously track the variation of slowly time-varying channels and detect unknown binary sequences well.
    Relation Link: http://www.ieee.org/portal/site
    URI: http://nthur.lib.nthu.edu.tw/handle/987654321/13423
    Appears in Collections:[電腦與通訊科技研發中心] 技術報告
    [通訊工程研究所] 會議論文
    [電腦與通訊科技研發中心] 會議論文

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